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Electricity theft prediction on low voltage distribution system using autoregressive technique

Abdullateef, Ahmad Isqeel and Salami, Momoh Jimoh Eyiomika and Musse, Mohamud Ahmed and Aibinu, Abiodun Musa and Onasanya, Mobolaji Agbolade (2012) Electricity theft prediction on low voltage distribution system using autoregressive technique. International Journal of Research in Engineering and Technology (IJRET) , 1 (5). pp. 250-254. ISSN 2277–4378

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Abstract

Electricity consumers tend to avoid the payment of electricity dues through various methods such as tampering with energy meter and illegal tapping via direct connection to the distribution feeder. This has led to huge revenue losses by the electricity supplying corporation and the related government or private agencies. A new approach of detecting electricity theft on low voltage distribution systems, either single or three phase, based on the advanced signal processing using linear prediction is presented in this paper. Consumer data were analyzed using Autoregressive (AR) model in order to predict the quantity of power consumed within the specified interval and consequently, compare the result obtained with the actual data recorded against the consumer under study. Thus the model developed was used to predict power consumption at 30minutes interval ahead, thereby facilitating the detection of electricity theft if there is a wide variation between the actual and the predicted data. Keywords— autoregressive model, electricity theft, linear prediction, low voltage distribution system.

Item Type: Article (Journal)
Additional Information: 2470/36049
Uncontrolled Keywords: autoregressive model, electricity theft, linear prediction, low voltage distribution system
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc. Professor Musse Ahmed
Date Deposited: 17 Mar 2014 09:49
Last Modified: 05 Nov 2015 10:10
URI: http://irep.iium.edu.my/id/eprint/36049

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